I am student in biology. For my examination I conducted a greenhouse experiment with gras. Actually I am not sure how to develop the correct model and unfortunately I haven't found an answer in the web during the last weeks.
Experiment:
4 different species of gras were planted in pots with 4 different types of fertilizers (different N content).
After the first harvest fertilizers were changed until second harvest. The experiment was completely randomized and consisted of six repetitions.
Question:
I am looking for an appropriate model and a post-hoc test. I guess modeling each harvest by its own using typical anova is no problem. For analyzing sum of biomass I favor repeated measures models.
Model:
Columns:
Pot_ID: ID number of the pot
Species: Name of the species
Fertilizer: A, B, C, D
Time: 1 for first harvest, 2 for total biomass including second harvest
Yield: Biomassproduction
model=lme(yield~species*fertilizer,random=~1|pot_ID,dataset,correlation=corAR1(form=~time|pot_ID))
Is the model appropriate? What does anova(model) show, both times or only time=2? How to implement a post-hoc?